Every month, the joint laboratory invites external speakers to take part in seminars for its partners.
Juhan Nam (KAIST): “MIR for Human-AI Music Ensemble Performance”
Abstract: Human-AI music ensemble performance encompasses a range of music information retrieval (MIR) tasks, including automatic music transcription, score-following, and auto-accompaniment, as well as visual processing for communication. The nature of music performance also poses significant technical challenges, such as real-time processing, robustness to room acoustics and interfering sources, and dynamic adaptation to human performers. In this talk, I will present technical advancements on the topics and highlight examples of stage performances that have incorporated MIR technology.
Bio: Juhan Nam is an Associate Professor at the Korea Advanced Institute of Science and Technology (KAIST), South Korea. He currently leads the Music and Audio Computing Lab at the Graduate School of Culture Technology, focusing on various topics related to MIR and audio applications. Additionally, he serves as the Head of the Sumi Jo Performing Arts Research Center at KAIST. Dr. Nam earned his Ph.D. in Music from Stanford University, where he conducted research at the Center for Computer Research in Music and Acoustics (CCRMA).
